Nanda Poddar
Impact in
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions
- Environmental Engineering top 5%
- Groundwater flow and contamination studies
Papers in
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- Groundwater flow and contamination studies 17
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- Advanced Mathematical Modeling in Engineering 15
- Co-authors
- Kajal Kumar Mondal (24 shared papers)Rishi Raj Kairi (6 shared papers)Niall Madden (2 shared papers)Ping Wang (3 shared papers)Prasanta Chatterjee (1 shared paper)
- Journals
- Physics of Fluids (9 papers)International Communications in Heat and Mass Transfer (3 papers)Communications in Nonlinear Science and Numerical Simulation (3 papers)European Journal of Mechanics - B/Fluids (2 papers)Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences (2 papers)
In The Last Decade
Nanda Poddar
29 papers receiving 323 citations
Peers
Comparison fields: 5 of 26
- Modeling and Simulation 61
- Environmental Engineering 143
- Numerical Analysis 35
- Earth-Surface Processes 59
- Computational Theory and Mathematics 115
Countries citing papers authored by Nanda Poddar
This map shows the geographic impact of Nanda Poddar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nanda Poddar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nanda Poddar more than expected).
Fields of papers citing papers by Nanda Poddar
This network shows the impact of papers produced by Nanda Poddar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nanda Poddar. The network helps show where Nanda Poddar may publish in the future.
Co-authors
The 5 scholars most cited alongside Nanda Poddar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 35 | |
| 2 | 2022 | 30 | |
| 3 | 2021 | 28 | |
| 4 | 2021 | 26 | |
| 5 | 2021 | 22 | |
| 6 | 2021 | 21 | |
| 7 | 2021 | 17 | |
| 8 | 2022 | 17 | |
| 9 | 2023 | 16 | |
| 10 | 2022 | 14 | |
| 11 | 2023 | 12 | |
| 12 | 2024 | 12 | |
| 13 | 2021 | 11 | |
| 14 | 2023 | 11 | |
| 15 | 2024 | 10 | |
| 16 | 2024 | 9 | |
| 17 | 2024 | 8 | |
| 18 | 2022 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2024 | 4 |
About Nanda Poddar
Nanda Poddar is a scholar working on Environmental Engineering, Computational Theory and Mathematics, Earth-Surface Processes, Numerical Analysis and Computational Mechanics, having authored 30 papers that have together received 331 indexed citations. Recurring topics across this work include Groundwater flow and contamination studies (17 papers), Advanced Mathematical Modeling in Engineering (15 papers), Aquatic and Environmental Studies (10 papers), Fluid Dynamics and Turbulent Flows (7 papers), Hydrology and Sediment Transport Processes (7 papers), Differential Equations and Numerical Methods (6 papers), Heat and Mass Transfer in Porous Media (6 papers) and Fractional Differential Equations Solutions (3 papers). The work is most often cited by research in Modeling and Simulation (61 citations), Environmental Engineering (143 citations), Numerical Analysis (35 citations), Earth-Surface Processes (59 citations) and Computational Theory and Mathematics (115 citations). Nanda Poddar has collaborated with scholars based in India, Israel and Ireland. Frequent co-authors include Kajal Kumar Mondal, Rishi Raj Kairi, Niall Madden, Ping Wang and Prasanta Chatterjee. Their work appears in journals such as Physics of Fluids, International Communications in Heat and Mass Transfer, Communications in Nonlinear Science and Numerical Simulation, European Journal of Mechanics - B/Fluids and Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.